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The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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data
data
 
 
models
models
 
 
run
run
 
 
scripts
scripts
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
02_01_deep_learning_deep_neural_network.ipynb
02_01_deep_learning_deep_neural_network.ipynb
 
 
02_02_deep_learning_convolutions.ipynb
02_02_deep_learning_convolutions.ipynb
 
 
02_03_deep_learning_conv_neural_network.ipynb
02_03_deep_learning_conv_neural_network.ipynb
 
 
03_01_autoencoder_train.ipynb
03_01_autoencoder_train.ipynb
 
 
03_02_autoencoder_analysis.ipynb
03_02_autoencoder_analysis.ipynb
 
 
03_03_vae_digits_train.ipynb
03_03_vae_digits_train.ipynb
 
 
03_04_vae_digits_analysis.ipynb
03_04_vae_digits_analysis.ipynb
 
 
03_05_vae_faces_train.ipynb
03_05_vae_faces_train.ipynb
 
 
03_06_vae_faces_analysis.ipynb
03_06_vae_faces_analysis.ipynb
 
 
04_01_gan_camel_train.ipynb
04_01_gan_camel_train.ipynb
 
 
04_02_wgan_cifar_train.ipynb
04_02_wgan_cifar_train.ipynb
 
 
04_03_wgangp_faces_train.ipynb
04_03_wgangp_faces_train.ipynb
 
 
05_01_cyclegan_train.ipynb
05_01_cyclegan_train.ipynb
 
 
06_01_lstm_text_train.ipynb
06_01_lstm_text_train.ipynb
 
 
06_02_qa_train.ipynb
06_02_qa_train.ipynb
 
 
06_03_qa_analysis.ipynb
06_03_qa_analysis.ipynb
 
 
07_01_notation_compose.ipynb
07_01_notation_compose.ipynb
 
 
07_02_lstm_compose_train.ipynb
07_02_lstm_compose_train.ipynb
 
 
07_03_lstm_compose_predict.ipynb
07_03_lstm_compose_predict.ipynb
 
 
07_04_musegan_train.ipynb
07_04_musegan_train.ipynb
 
 
07_05_musegan_analysis.ipynb
07_05_musegan_analysis.ipynb
 
 
09_01_positional_encoding.ipynb
09_01_positional_encoding.ipynb
 
 
Dockerfile.cpu
Dockerfile.cpu
 
 
Dockerfile.gpu
Dockerfile.gpu
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
launch-docker-cpu.sh
launch-docker-cpu.sh
 
 
launch-docker-gpu.sh
launch-docker-gpu.sh
 
 
requirements.txt
requirements.txt
 
 

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🦜 Generative Deep Learning

[NEW] 🚀 2nd edition codebase now live!

⚠️ This repository is no longer maintained as the codebase for the 2nd edition of Generative Deep Learning is now live!

Please head over to https://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition to check it out.

Branches

The master branch of this repo contains the Tensorflow 1.14 code that is present in the original book (first edition)

The tensorflow_2 branch contains updated code that runs using Tensorflow 2.

However, I recommend swiching over to the repository for the 2nd edition (see above), as it contains many new examples and improvements to the overall structure.

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The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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